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Published in 2022 at "IEEE transactions on neural networks and learning systems"
DOI: 10.1109/tnnls.2022.3212924
Abstract: The purpose of this article is to address unsupervised domain adaptation (UDA) where a labeled source domain and an unlabeled target domain are given. Recent advanced UDA methods attempt to remove domain-specific properties by separating…
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Keywords:
heterogeneous heuristic;
domain adaptation;
framework heterogeneous;
domain ... See more keywords